The Staff Product Data Scientist for Pixel Growth at Google Store will play a crucial role in driving business and product decisions through data analysis and modeling. This position focuses on enhancing the e-commerce experience for Google's hardware products, including Pixel phones and Google Home. The data science team is responsible for measurement, experimentation, and optimization to inform strategic decisions. The ideal candidate will leverage their expertise to influence stakeholders and solve complex problems.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree.
• Experience with commercial metrics or business models such as e-commerce, retail, subscriptions, promotions, or pricing.

• Perform analysis utilizing relevant tools such as SQL, R, and Python while providing investigative thought leadership.
• Develop the data science roadmap that aligns with the broader strategy and establish project goals.
• Synthesize insights from cross-channel experimentation and calculate price elasticity curves.
• Define and report Key Performance Indicators (KPIs) during business reviews and translate analysis results into actionable insights.
• Build predictive models integrating complex datasets and serve as the subject matter expert in metrics development.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.